Experts with 10-plus years of experience outperformed the LLM ...

Modeling-Driven Design of Materials and Electrodes for Beyond Lithium-Ion Batteries with Damla Eroglu, Department of Chem ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...

The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...

BrainIAC, a breakthrough AI foundation model, is able to predict brain age, dementia, time-to-stroke, and brain cancer from brain magnetic resonance imaging (MRI).

World models are AI systems that understand physics, space, and cause-and-effect—unlike chatbots that only predict text. Tech leaders like Yann LeCun argue they're essential for truly intelligent ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Background: Vascular diseases are increasing in Ireland as well as worldwide alongside an ageing society, posing a growing demand for trained and qualified healthcare professionals. In this study, we ...